Unit Hydrograph Derived From a Spatially Distributed Velocity Field

Maidment, David R.; Olivera, Francisco; Calver, A.; Eatherall, A.; Frączek, Witold

doi:10.1002/(sici)1099-1085(199606)10:6<831::aid-hyp374>3.0.co;2-n

Cited by 143 publications

(101 citation statements)

References 10 publications

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“…Likewise, for a spatially distributed linear system subdivided into uniform nonoverlapping subareas this equation takes the form of [Maidment et al, 1996a] Nw •0 t…”

Section: Q(t) =Aw I(r)•(tr) Dr (1) Where T [T] Is Time Q(t) [L3t -J]mentioning

confidence: 99%

Geographic Information Systems (GIS)‐based spatially distributed model for runoff routing

Olivera¹,

Maidment²

1999

Water Resources Research

150

106

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Abstract. A method is proposed for routing spatially distributed excess precipitation over a watershed to produce runoff at its outlet. The land surface is represented by a (raster) digital elevation model from which the stream network is derived. A routing response function is defined for each digital elevation model cell so that water movement from cell to cell can be convolved to give a response function along a flow path and responses from all cells can be summed to give the outlet hydrograph. An example application of analysis of runoff on Waller Creek in Austin, Texas, is presented.

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“…Likewise, for a spatially distributed linear system subdivided into uniform nonoverlapping subareas this equation takes the form of [Maidment et al, 1996a] Nw •0 t…”

Section: Q(t) =Aw I(r)•(tr) Dr (1) Where T [T] Is Time Q(t) [L3t -J]mentioning

confidence: 99%

Geographic Information Systems (GIS)‐based spatially distributed model for runoff routing

Olivera¹,

Maidment²

1999

Water Resources Research

150

106

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“…However, more sophisticated approaches could be used for rainfall-runoff modelling that would better exploit the available information on the geomorphology and topography of the studied basin (e.g. Naden 1992, Maidment et al 1996, Nardi et al 2008, Grimaldi et al 2010.…”

Section: Introductionmentioning

confidence: 99%

Assessment of flood frequency after forest fires in small ungauged basins based on uncertain measurements

Nalbantis

Lymperopoulos

2012

Hydrological Sciences Journal

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A methodology is proposed for constructing flood frequency curves before and after forest fires in small ungauged basins. It follows the rainfall-based derived distribution approach using Monte Carlo simulation and allowing for uncertainty in some of the variables involved. The generalized extreme value distribution for annual maximum rainfall is used, combined with the SCS-CN method for estimating rainfall excess, and the rational method for peak flow estimation. For pre-fire conditions, uncertainty in the spatially-averaged curve number is assumed. For post-fire conditions, measurements of peak flood water level at the basin outlet are exploited, while uncertainty is considered both in these measurements and in the hydraulic roughness. Multi-variate Latin Hypercube sampling for correlated variables is used to assess flood quantiles. The methodology is applied to a small basin in Attica, Greece, which was burnt in 2007. Sensitivity tests are carried out regarding the effect of sample size and of the amount of uncertainty involved.Key words flood frequency; forest fires; uncertainty analysis; derived distribution approach; Monte Carlo simulation; Latin Hypercube sampling; generalized extreme value distribution; SCS-CN method; rational method; Torrent Giannoula; Attica, Greece Evaluation de la fréquence des crues après les incendies de forêt basée sur des mesures incertaines dans de petits bassins non jaugés Résumé Une méthodologie est proposée pour construire des courbes de fréquence des crues, avant et après incendies de forêts dans des petits bassins non jaugés. Elle suit l'approche de la distribution dérivée basée sur les pluies en utilisant une simulation Monte Carlo et en autorisant de l'incertitude dans certaines des variables impliquées. La distribution des valeurs extrêmes généralisée est utilisée pour les précipitations maximales annuelles. Elle est combinée avec la méthode SCS-CN pour l'estimation des précipitations en excès, et avec la méthode rationnelle pour l'estimation du débit de pointe. Pour les conditions pré-incendie, on suppose une incertitude dans le "curve number" spatialement moyenné. Pour les conditions post-incendie, les mesures du niveau d'eau de la pointe de crue à l'exutoire du bassin sont exploitées, tandis que l'incertitude est considérée à la fois dans ces mesures et dans la rugosité hydraulique. Un échantillonnage par hypercube latin multi-varié pour variables corrélées est utilisé pour évaluer les quantiles de crues. La méthodologie est appliquée à un petit bassin de l'Attique, en Grèce, qui a brûlé en 2007. Des tests de sensibilité sont réalisés sur l'effet de taille d'échantillon et le niveau d'incertitude en jeu.Mots clefs fréquence des crues; feux de forêt; analyse d'incertitude; approche de la distribution dérivée; simulation de Monte

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“…For the runoff concentration of sub-basins, the surface flow is calculated using a distributed unit hydrograph (DUH). The DUH was proposed in which the catchment was decomposed into individual sub-basins or cells by Maidment in 1993 [35,36]. The concentration velocity of every cell is derived according to the DEM and land use/cover.…”

Section: Distributed Hydrological Modelmentioning

confidence: 99%

Forecasting and Providing Warnings of Flash Floods for Ungauged Mountainous Areas Based on a Distributed Hydrological Model

Wang

Liu

Guo

et al. 2017

Water

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Flash floods occur in mountainous catchments with short response times, which are among the most devastating natural hazards in China. This paper intends to forecast and provide warnings of flash floods timely and precisely using the flash flood warning system, which is established by a new distributed hydrological model (the China flash flood hydrological model, CNFF-HM). Two ungauged mountainous regions, Shunchang and Zherong, are chosen as the study areas. The CNFF-HM is calibrated in five well-monitored catchments. The parameters for the ungauged regions are estimated by regionalization. River water stage data and reservoir water stage data from Shunchang, and reservoir water stage data from Zherong are used to validate the model. The model performs well and the average Nash-Sutcliffe efficiency (NSE) is above 0.8 for the five catchments. The validation shows the difference in the timing of flood peaks using the two types of water stage data is less than 1 h. The rising and declining trends of the floods correspond to the observed trends over the entire validation process. Furthermore, the flash flood warning system was effectively applied in flash flood event on 28 September 2016 in Zherong. Thus, the CNFF-HM with regionalization is effective in forecasting flash floods for ungauged mountainous regions.

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Unit Hydrograph Derived From a Spatially Distributed Velocity Field

Cited by 143 publications

References 10 publications

Geographic Information Systems (GIS)‐based spatially distributed model for runoff routing

Geographic Information Systems (GIS)‐based spatially distributed model for runoff routing

Assessment of flood frequency after forest fires in small ungauged basins based on uncertain measurements

Forecasting and Providing Warnings of Flash Floods for Ungauged Mountainous Areas Based on a Distributed Hydrological Model

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